Daniela F De Albuquerque

Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models

Beyond estimating parameters of interest from data, one of the key goals of statistical inference is to properly quantify uncertainty in these estimates. In Bayesian inference, this uncertainty is provided by the posterior distribution, the computation of which typically involves an intractable high…